The Blaze80%

Canadian female, 33, accused of slapping teen girl wearing pro-Trump clothing on NJ boardwalk. Now suspect is in ICE custody. 33%

By Dave Urbanski35%

7/15/2026, 8:05:00 PM

BS Summary: This article contains 22 faulty reasoning types, including Appeal to Emotion, Appeal to Authority, and Framing Effect, with Negativity Bias as the most egregious example at 24.2% saturation with 164 hits. Analysis detected 1,301 faulty-reasoning hits from 677 analyzed words, generating a BS Score of 41.2% and a BS Rank of 33% (14,425 of 21,230 articles). This article is better (less manipulative) than 67.90% of the article peer group.

A 33-year-old Canadian female is accused of slapping a teenage girl wearing pro-Trump clothing on a boardwalk in Point Pleasant Beach, New Jersey, earlier this month  and now the suspect is in the custody of U.S. 
Immigration and Customs Enforcement. 
A 33-year-old Canadian female is accused of slapping a teenage girl wearing pro-Trump clothing on a boardwalk in Point Pleasant Beach, New Jersey, earlier this month  and now the suspect is in the custody of U.S. 
Immigration and Customs Enforcement. 
The accused  Kaitlyn E. 
Tracey  was recording on her phone July 3 when she approached the teen and her friends, NJ.com reported , citing court documents. 
The teen was wearing sweatpants containing the words "Trump" and “ICE," the outlet reported. 
Police said Tracey "began yelling at the female juvenile over patriotic colored sweatpants with political wording." 
Police added that Tracey "was then seen on video striking the juvenile female, once to the body and once to the face, with an open hand. 
The female suspect then left the scene without being identified." 
Police department detectives conducted an investigation, and police said they identified Tracey on July 6 as the suspect in connection with the incident. 
Tracey was charged with simple assault, endangering the welfare of a child, harassment, and obstruction, police said, adding that Tracey early on Monday was taken into custody without incident, processed, and transported to Ocean County Jail. 
NJ.com, citing court papers, reported that Tracey is a Canadian citizen who entered the United States with a passport in 2024. 
Indeed, NJ.com added that a man who identified himself as Tracey's husband said Tracey is being turned over to ICE. 
Blaze News on Wednesday morning checked ICE records, which show Tracey is in ICE custody at its Delaney Hall Detention Facility in Newark, N.J. 
Image source: U.S. 
Immigration and Customs Enforcement 
NJ.com said court records indicate Tracey is scheduled for an Aug. 4 court appearance. 
"I need help," Matthew Geroni said in a video posted to TikTok , according to NJ.com. 
"I need my wife. 
I don't want her to get hurt." 
The New York Post reported that Geroni is an American citizen who married Tracey "a little over three years ago" and has been sharing his wife's story with his 140,000 followers. 
The paper added that Tracey had been living in Asbury Park with her husband. 
Geroni didn’t mention Tracey’s alleged assault of a teen girl that led to her arrest during his public plea, instead claiming the entire situation was being taken out of context. 
He created a GoFundMe page for his wife’s legal expenses but was forced to take it down a short time later after a “Facebook group of MAGA supporters” mass-reported it, he said. 
[...] 
Geroni, who routinely posts videos mocking Republicans, described himself as the “Clown of Asbury Park” and the “Jester of the Jersey Shore.” 
He claimed cops told his wife to leave the boardwalk after the alleged assault because they didn’t have enough to charge her before Tracey later turned herself over to police after an arrest warrant was issued. 
Tracey's attorney, Francis R. 
Hodgson, did not immediately respond to a request for comment Tuesday, according to NJ.com. 
NJ.com added that the victim was not injured and that her age is redacted in court documents. 
Police said, "We would like to thank the Asbury Park Police Department, the Ocean County Prosecutor's Office, The 11th District of the Toronto Police Service, and the United States Custom and Border Protection Intelligence Team for their assistance during this investigation." 
The Department of Homeland Security called Tracey "a criminal illegal alien from Canada who ... entered the United States on April 14, 2024, on a visa set to expire on September 6, 2024. 
In violation of our nation's laws, she overstayed her visa and failed to depart." 
Editor's note: This article has been edited after publication to include a new statement from the Department of Homeland Security. 
Article reasoning-pattern comparisonThis article: 12.3%Dave Urbanski: 1.8%Blaze Media: 5.6%Confirmation Bias12.3%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 0.6%Anchoring Bias0.0%This article: 3.4%Dave Urbanski: 4.5%Blaze Media: 3.1%Availability Heuristic3.4%This article: 2.1%Dave Urbanski: 0.5%Blaze Media: 1.0%Representativeness Heuristic2.1%This article: 0.0%Dave Urbanski: 1.1%Blaze Media: 0.8%Hindsight Bias0.0%This article: 0.0%Dave Urbanski: 0.1%Blaze Media: 1.6%Overconfidence Bias0.0%This article: 17.9%Dave Urbanski: 5.1%Blaze Media: 9.7%Framing Effect17.9%This article: 4.7%Dave Urbanski: 0.4%Blaze Media: 0.5%Loss Aversion4.7%This article: 4.6%Dave Urbanski: 0.3%Blaze Media: 0.5%Status Quo Bias4.6%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Sunk Cost Effect0.0%This article: 0.0%Dave Urbanski: 0.7%Blaze Media: 1.7%Optimism Bias0.0%This article: 1.0%Dave Urbanski: 0.8%Blaze Media: 1.6%Pessimism Bias1.0%This article: 24.2%Dave Urbanski: 10.6%Blaze Media: 9.5%Negativity Bias24.2%This article: 9.7%Dave Urbanski: 0.9%Blaze Media: 1.4%Self-Serving Bias9.7%This article: 0.0%Dave Urbanski: 1.4%Blaze Media: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.2%Actor-Observer Bias0.0%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 2.8%In-Group Bias0.0%This article: 0.0%Dave Urbanski: 0.4%Blaze Media: 1.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Dave Urbanski: 2.0%Blaze Media: 2.6%Halo Effect0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.4%Horn Effect0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Dunning-Kruger Effect0.0%This article: 5.9%Dave Urbanski: 1.1%Blaze Media: 1.1%Recency Bias5.9%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 0.5%Primacy Effect0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Blind-Spot Bias0.0%This article: 3.2%Dave Urbanski: 2.2%Blaze Media: 2.6%Ad Hominem3.2%This article: 4.4%Dave Urbanski: 0.3%Blaze Media: 1.2%Straw Man4.4%This article: 18.3%Dave Urbanski: 3.7%Blaze Media: 3.7%Appeal to Authority18.3%This article: 0.0%Dave Urbanski: 0.4%Blaze Media: 2.4%False Dilemma0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 1.5%Slippery Slope0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Circular Reasoning0.0%This article: 0.0%Dave Urbanski: 1.4%Blaze Media: 9.0%Hasty Generalization0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.8%Red Herring0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.9%Bandwagon0.0%This article: 20.5%Dave Urbanski: 4.4%Blaze Media: 8.1%Appeal to Emotion20.5%This article: 2.1%Dave Urbanski: 0.2%Blaze Media: 1.5%Begging the Question2.1%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 2.5%Post Hoc (False Cause)0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Tu Quoque0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 1.0%Burden of Proof0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.3%Appeal to Nature0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.3%Composition/Division0.0%This article: 2.4%Dave Urbanski: 2.0%Blaze Media: 2.6%Anecdotal2.4%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%No True Scotsman0.0%This article: 5.3%Dave Urbanski: 1.0%Blaze Media: 2.0%Ambiguity (Equivocation)5.3%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Middle Ground0.0%This article: 0.0%Dave Urbanski: 0.1%Blaze Media: 0.1%Personal Incredulity0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Special Pleading0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.4%Genetic Fallacy0.0%This article: 15.5%Dave Urbanski: 4.5%Blaze Media: 2.7%Unattributed Quote15.5%This article: 11.1%Dave Urbanski: 2.5%Blaze Media: 2.2%Quote-first Misdirection11.1%This article: 13.3%Dave Urbanski: 5.9%Blaze Media: 10.5%Biased Writer Voice13.3%This article: 6.9%Dave Urbanski: 2.7%Blaze Media: 4.6%Indoctrination6.9%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.4%Politically Left Leaning Bias0.0%This article: 3.2%Dave Urbanski: 0.6%Blaze Media: 7.1%Politically Right Leaning Bias3.2%This article: 0.0%Dave Urbanski: 3.6%Blaze Media: 2.6%Attempt to Sell a Product or S…0.0%

677 words analyzed.

Speakers

2speakers11%attributed speech603writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageMatthew Geroni • 16 words • 100.0% coverageMatthew Geroni • 4 words • 0.0% coverageMatthew Geroni • 7 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 41 words • 0.0% coverageDepartment of Homeland Security • 33 words • 100.0% coverageDepartment of Homeland Security • 14 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverage
100%flagged-word coverage
47 attributed words64% of attributed speech88% writer coverage
0%50.0%100.0%Indoctrination+100.0 ptsWriter: 0.0%Department of Homeland Security: 100.0%100.0%Quote-first Misdirection+65.9 ptsWriter: 4.3%Department of Homeland Security: 70.2%70.2%Unattributed Quote-17.4 ptsWriter: 17.4%Department of Homeland Security: 0.0%0.0%Biased Writer Voice-14.9 ptsWriter: 14.9%Department of Homeland Security: 0.0%0.0%Politically Right Leaning -3.6 ptsWriter: 3.6%Department of Homeland Security: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.